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CM0

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  1. So, implying that Illustrator seemed to handle it ok? BTW Inkscape uses Python for scripting. Not sure if you have tried that.
  2. I want a high performant scripting language that uses JIT. Affinity has always prioritized performance. I've never considered the Affinity app as intended to be scientific level of accuracy or any other application in its class. What is the end user use case? Does Illustrator support the use case(it uses JS)?
  3. It is the Python Decimal module. However, it is still done in software. So it's performance is slow in comparison. It is not useful in general for graphic applications. This kind of accuracy is for mostly scientific purposes.
  4. Spline runs in the browser - https://spline.design/#features Graphite runs in the browser - https://graphite.rs/ Modyfi runs in the browser - https://www.modyfi.com/ Don't worry, this is not an issue.
  5. I just checked and this still is not fixed in RC1. It is very disappointing that af-399 was marked fixed, but in reality it was only a partial fix. All that needs to happen is the same fix applied for erase mode. I fear it will never be fixed if not addressed while we had attention on this issue.
  6. I couldn't agree more. There are so many bugs that don't even have work arounds. Fixing bugs is like getting new features. You can do things you couldn't do before.
  7. I have made this same comment so many times. I also emphasized this on every user survey. Fixing all the bugs is like getting new features because some things are so broken they can't even be used. It is so frustrating. One of the long standing bugs that was important to me was finally marked fixed this release. I was was so excited, but then I tested it and it wasn't fixed. Reported it as not fixed, so now there is a new bug logged that probably won't get fixed. I would really love a major dedicated bugfix only release.
  8. Any updates on this one? Really hoping it can get included as the fix af-399 was targeted for this, but missed this use case. Hopefully the same fix is straightforward to apply.
  9. Sure, attached is the same example switched to using erase mode as a mask. passthrough mode blending using erase.afpub
  10. This was marked fixed; however, it is not fixed for erase mode. When using erase mode as a mask, the passthrough problem still occurs.
  11. Please note this is not fixed for erase mode that I documented above. If you use erase mode as a mask, this problem still occurs in passthrough mode.
  12. Yes, this would probably yield the best result. As seen from the competitor products, ML isn't pure magic. Nobody has a solution that works perfectly. Having a combination of effective tools is still required.
  13. The most data gathered in another sense is vision. Models trained on video data have also demonstrated they are unable to make sense of that data as well. We already have machines that can experience their environment with LLM models at the core, but they still are unable to reason. True humanlike reasoning is going to require new innovations. Scaling LLMs does not seem to be the path to get there.
  14. I just linked to a test that any human would pass, but all AI's fail. Additionally, humans outperform LLMs in reasoning with a fraction of the data that LLMs require. Current LLMs have already nearly consumed all text data that exists.
  15. Current AI systems are mostly representations of the data on which they are trained. Once you move outside the distribution curve it gets everything terribly wrong. Complex relationships of data and its ability to create permutations out of that creates a convincing intelligence mimic. But it actually understands none of it. Very simple tests can expose the failures, such as LLM's don't know what they know and don't know.
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